Clinical death refers to the permanent cessation of life functions. This article reviews the definition of clinical death and the various scenarios in which it occurs, classifies the process of clinical death, and discusses the criteria for determining uncontrollable cardiac death, controllable cardiac death and the criteria and workflow for determining brain death. It elaborates on the relationship between brain death and death, and proposes the areas to note when standardizing the medical documentation of death cases. Based on this, it introduces the content of the management system and workflow construction for death determination in medical institutions, including management structure, personnel qualifications, document norms, quality control system and training mechanism. Paying attention to the construction of the management system and workflow for death determination in medical institutions is of great significance for ensuring medical quality and safety, promoting the healthy development of organ donation, and maintaining the seriousness of legal and ethical practices.

Objective To explore the predictive performance of machine learning models integrating clinico-pathological features and inflammatory markers for lymphovascular invasion (LVI) before gastric cancer surgery. Methods A retrospective cohort of 193 gastric cancer patients from The First Hospital of Lanzhou University (training set) and 185 patients from Zhongshan Hospital, Fudan University (validation set) was included. Preoperative clinical pathological characteristics, tumor markers, and inflammatory markers were collected to identify independent risk factors for LVI. Six machine learning models were established in the training set. Model performance was evaluated using area under the receiver operating characteristic (ROC) curve (AUC), calibration curve, decision curve analysis (DCA), and Brier scores. Shapley additive explanations (SHAP) was applied for model interpretability. Results The multivariate logistic regression showed increased tumor invasion depth (T-stage), lymph node metastases (N-stage), and the systemic immune-inflammation index (SII) were independent risk factors for gastric cancer LVI (P＜0.05). Using these three indicators, 6 machine learning models were developed, all of which demonstrated favorable predictive performance, with 0.79 and 0.76 of minimum AUC values in the training set and the validation set, respectively. Among them, the light gradient boosting machine (LightGBM) model exhibited the best overall performance, achieving AUCs of 0.83 and 0.82 in the training set and the validation set, along with Brier scores of 0.163 and 0.187, respectively. Calibration and DCA curves further confirmed that the model possesses strong predictive accuracy and application value. SHAP analysis showed the feature importance in LightGBM model, identifying the N-stage as the top contributor, followed by the T-stage and the SII. Conclusion The machine learning models incorporating clinical pathological features and inflammatory indicators can effectively predict LVI status in gastric cancer, with the LightGBM model demonstrating optimal performance.

Geraniin, a polyphenol derived from the fruit peel of Nephelium lappaceum L., has been shown to possess anti-inflammatory and antioxidant properties in the cardiovascular system. The present study explored whether geraniin could protect against an isoproterenol (ISO)-induced cardiac hypertrophy model. Mice in the ISO group received an intraperitoneal injection of ISO (5 mg/kg) once daily for 9 days, and the administration group were injected with ISO after 5 days of treatment with geraniin or spironolactone. Potential therapeutic effects and related mechanisms analysed by anatomical coefficients, histopathology, blood biochemical indices, reverse transcription-PCR and immunoblotting. Geraniin decreased the cardiac pathologic remodeling and myocardial fibrosis induced by ISO, as evidenced by the modifications to anatomical coefficients, as well as the reduction in collagen I/III á1mRNA and protein expression and cross-sectional area in hypertrophic cardiac tissue. In addition, geraniin treatment reduced ISO-induced increase in the mRNA and protein expression levels of interleukin (IL)-6, IL-1β and tumor necrosis factor-α, whereas ISO-induced IL-10 showed the opposite behaviour in hypertrophic cardiac tissue.Further analysis showed that geraniin partially reversed the ISO-induced increase in malondialdehyde and nitric oxide, and the ISO-induced decrease in glutathione, superoxide dismutase and glutathione. Furthermore, it suppressed the ISO-induced cellular apoptosis of hypertrophic cardiac tissue, as evidenced by the decrease in Bcell lymphoma-2 (Bcl-2)-associated X/caspase-3/caspase-9 expression, increase in Bcl-2 expression, and decrease in TdT-mediated dUTP nick-end labeling-positive cells.These findings suggest that geraniin can attenuate ISO-induced cardiac hypertrophy by inhibiting inflammation, oxidative stress and cellular apoptosis.

Geraniin, a polyphenol derived from the fruit peel of Nephelium lappaceum L., has been shown to possess anti-inflammatory and antioxidant properties in the cardiovascular system. The present study explored whether geraniin could protect against an isoproterenol (ISO)-induced cardiac hypertrophy model. Mice in the ISO group received an intraperitoneal injection of ISO (5 mg/kg) once daily for 9 days, and the administration group were injected with ISO after 5 days of treatment with geraniin or spironolactone. Potential therapeutic effects and related mechanisms analysed by anatomical coefficients, histopathology, blood biochemical indices, reverse transcription-PCR and immunoblotting. Geraniin decreased the cardiac pathologic remodeling and myocardial fibrosis induced by ISO, as evidenced by the modifications to anatomical coefficients, as well as the reduction in collagen I/III á1mRNA and protein expression and cross-sectional area in hypertrophic cardiac tissue. In addition, geraniin treatment reduced ISO-induced increase in the mRNA and protein expression levels of interleukin (IL)-6, IL-1β and tumor necrosis factor-α, whereas ISO-induced IL-10 showed the opposite behaviour in hypertrophic cardiac tissue.Further analysis showed that geraniin partially reversed the ISO-induced increase in malondialdehyde and nitric oxide, and the ISO-induced decrease in glutathione, superoxide dismutase and glutathione. Furthermore, it suppressed the ISO-induced cellular apoptosis of hypertrophic cardiac tissue, as evidenced by the decrease in Bcell lymphoma-2 (Bcl-2)-associated X/caspase-3/caspase-9 expression, increase in Bcl-2 expression, and decrease in TdT-mediated dUTP nick-end labeling-positive cells.These findings suggest that geraniin can attenuate ISO-induced cardiac hypertrophy by inhibiting inflammation, oxidative stress and cellular apoptosis.

The application of genetic testing technologies in assisted reproduction, such as preimplantation genetic testing (PGT) and carrier screening for monogenic diseases, has provided infertile couples with more reproductive options and played a crucial role in the prevention of genetic disorders, significantly improving reproductive health. However, the widespread use of these technologies has also raised various ethical challenges, including the uncertainty of mosaic embryo transfer and its implications for reproductive rights, the cost-effectiveness debate surrounding PGT for structural rearrangement for chromosomal inversion carriers, the predictive accuracy and ethical boundaries of polygenic embryo screening, and the ethical concerns related to extensive carrier screening, such as information overload, restricted informed choice, disputes over screening scope, and disparities in healthcare access. The reproductive medicine ethics committee plays a central role in addressing these challenges by overseeing ethical reviews of technological applications, ensuring patients' informed consent, balancing technological innovation with ethical responsibility, and promoting social equity. This article explores the ethical challenges brought by the application of technologies such as PGT and carrier screening in assisted reproduction, and proposes corresponding suggestions based on ethical principles framework, in order to promote the standardized application of genetic testing technology in reproductive medicine.

Objective To investigate the value of whole lung CT radiomics combined with clinical and conventional CT features for differentiating non-tuberculous mycobacterial pulmonary disease(NTM-PD)and pulmonary tuberculosis(PTB).Methods Fifty-three NTM-PD(NTM-PD group)and 111 PTB(PTB group)patients diagnosed by mycobacteria culture were retrospectively collected.The patients were divided into training set(n=115,including 37 cases of NTM-PD and 78 cases of PTB)and test set(n=49,including 16 cases of NTM-PD and 33 cases of PTB)at the ratio of 7∶3.Patients'clinical and pulmonary CT manifestations of lesions were analyzed using univariate and multivariate logistic regression,and the independent impact factors for differentiating NTM-PD and PTB lesions were screened.The best radiomics features were extracted and screened based on whole lung CT.Based on independent impact factors,the best radiomics features and their combination,clinical-CT,radiomics and combined models were constructed with random forest,and the differential efficacy of each model was evaluated.Results Patients'age(OR=0.264),gender(OR=0.956),immunoglobulin G(OR=3.416),C reactive protein(OR=3.418)and bronchiectasis shown on CT(OR=0.285)were all independent impact factors for differentiating NTM-PD and PTB.Twelve best radiomics features were screened based on whole lung ROI.The AUC of combined model in training set and test set was 0.915 and 0.901,respectively,both higher than that of clinical model(AUC=0.832,0.801,Z=1.340,3.710,both P＜0.05)and radiomics model(AUC=0.877,0.821,Z=-2.520,-5.240,both P＜0.05).Conclusion Whole lung CT radiomics combined with clinical and conventional CT features could effectively distinguish NTM-PD and PTB.

Objective To investigate the relationship between triglyceride glucose body mass index(TyG-BMI),high density lipoprotein cholesterol to Apolipoprotein A ratio(HAR),glycemic risk index(GRI)and diabetic retinopathy(DR).Methods A total of 159 patients with type 2 diabetes mellitus(T2DM)complicated with DR(the DR group)were divided into the non-proliferative retinopathy group(NPDR group,66 cases)and the proliferative retinopathy group(PDR group,93 cases)according to DR international clinical grading criteria,and 159 T2DM patients without DR were selected as the control group.Clinical information and baseline laboratory test results were recorded,and TyG-BMI,HAR and GRI were calculated.Multivariate Logistic regression analysis was conducted to analyze the related factors of the incidence of DR,and receiver operating characteristic(ROC)curve was used to analyze the diagnostic value of TyG-BMI,HAR and GRI for DR.Results The duration of T2DM,the proportion of hypertension,diabetic nephropathy and diabetic foot,levels of HbA1c,homeostasis model insulin resistance index(HOMA-IR),total cholesterol(TC),C-reactive protein(CRP),TyG-BMI,HAR and GRI were higher in the DR group than those in the control group(P<0.05).TyG-BMI,HAR and GRI were higher in the PDR group than those in the NPDR group(P<0.05).Multivariate Logistic regression analysis showed that the longer course of T2DM disease[OR(95%CI):2.781(1.398-5.534)],high TyG-BMI[2.036(1.169-3.546)],high HAR[1.890(1.090-3.280)]and high GRI[1.836(1.065-3.167)]were risk factors for DR(P<0.05).ROC curve analysis results showed that,the area under the curve(AUC)of combined TyG-BMI,HAR and GRI diagnosis of DR was higher than that of single diagnosis[0.940(0.908-0.964),0.864(0.821-0.900),0.796(0.747-0.839)and 0.836(0.790-0.875),all P<0.05].Conclusion The increased TyG-BMI,HAR and GRI in T2DM patients is associated with the onset and severity of DR,and which can be used to assess the risk of DR.

Objective:Given the insufficiency of current clinical biomarkers for early diagnosis of esophageal adenocarcinoma(EAC),this study developed a panel of serum protein biomarker assays using liquid-phase chip technology and preliminarily validated the detection capabilities of these markers for EAC.Methods:Collected serum samples from 48 patients with EAC and 33 age-matched healthy controls(HC).The levels of squamous cell carcinoma antigen(SCCA),human cytokeratin 19 fragment(Cyfra21-1),hepatocyte growth factor(HGF)and IL-8 in serum were analyzed by liquid chip technology.The diagnostic efficacy of a single indicator and a combination of four indicators were evaluated by receiver operation characteristic(ROC)curve.Results:The detection ranges of SCCA,Cyfra21-1,HGF and IL-8 were 0.24～1 000 ng/ml,45.72～100 000 pg/ml,21.95～16 000 pg/ml,and 0.61～10 000 pg/ml,respectively.The liquid chip technology shows a strong correlation with clinical chemiluminescence immunoassay(r=0.949 4,P<0.000 1)and ELISA technology(r=0.955 1,P<0.000 1).Compared to the HC group,serum levels of SCCA and HGF were signifi-cantly elevated in the EAC group(P<0.01),IL-8 was significantly decreased(P<0.05),while Cyfra21-1 shows no significant difference(P>0.05).In the early EAC group,serum HGF was significantly higher than in the HC group(P<0.01).ROC curve analysis shows that among individual markers,HGF exhibits the best diagnostic efficacy for early EAC with an area under the curve(AUC)of 0.761,while the AUC for the combination of the four biomarkers was 0.857,both superior to the clinical biomarkers SCCA(AUC=0.604)and Cyfra21-1(AUC=0.515).Conclusion:Liquid chip technology is used to jointly detect SCCA,Cyfra21-1,HGF,and IL-8 in human serum.In the early diagnosis of EAC,the diagnostic efficacy of the combined use of these four biomarkers is superior to that of the commonly used clinical tumor markers SCCA and Cyfra21-1.This advantage stems from the high throughput and high sensitivity characteristics of liquid-phase chip technology.Consequently,this combined detection method holds significant clinical application and is expected to provide a more accurate and reliable tool for the early diagnosis of EAC.

Objective:To investigate the status of leisure crafting and post competence and their correlation among anesthesia specialist nurses.Methods:A convenience sampling method was used to conducted a questionnaire survey on 280 anesthesia specialist nurses at grade A tertiary hospitals in 19 provinces of China. Data were collected using a general information questionnaire, the Chinese version of Leisure Crafting Scale, and the Post Competency Scale for Anesthesia Specialist Nurses. SPSS 24.0 was used for t test and one-way analysis of variance. A Pearson correlation analysis was used to assess relationships between variables. Results:The total score of leisure crafting was (30.41±6.69) and the average score was (3.38±0.74). The total score of post competency was (141.76±21.76) and the average score was (3.73±0.57). A positive correlation was observed between leisure crafting and post competency ( r=0.215, P<0.01). Conclusions:Managers should encourage anesthesia specialist nurses to actively engage in leisure crafting and provide diverse opportunities for leisure crafting to improve their post competence and ultimately the quality of anesthesia nursing.

The ribosomal protein S11(RPS11)from Enterococcus faecalis is was heterologously ex-pressed using the Pichia pastoris system.The RPS11 gene sequence was optimized to match the yeast codon preference,and the recombinant expression vector pPIC9K-RPS11 was constructed.Electroporation was used to transform the vector into the Pichia pastoris GS115 strain,and high-copy recombinant strains were selected through G418 resistance screening.Protein expression was induced with methanol,and the expression was verified by SDS-PAGE.The recombinant protein was applied in a mouse melanoma treatment model to evaluate its therapeutic effects.The results showed that the recombinant expression vector pPIC9K-RPS11 successfully expressed the target protein with an approximate molecular weight of 14 kDa in Pichia pastoris.The optimal fermenta-tion conditions were determined to be an induction temperature of 30 ℃,induction time of 72 h,and methanol concentration of 1％.Analysis using a mouse peritoneal macrophage trained immuni-ty model revealed that recombinant RPS11 possessed biological activity capable of inducing trained immunity.Additionally,therapeutic experiments in a mouse melanoma model demonstrated that recombinant RPS11 significantly inhibited tumor growth.These findings suggest that the recombi-nant RPS11 secreted by Pichia pastoris not only possesses biological activity in inducing trained immunity but also inhibits tumor cell growth in a mouse melanoma model,providing theoretical support for the heterologous expression and potential applications of recombinant RPS11.